VeriLinks: verifying links in an arbitrary linkset

VeriLinks is a light-weight platform for creating games to verify links in an arbitrary linkset. Agreement among players on the validity of a link is rewarded by coins or points. Depending on the specific game, those are then used to fight against enemy invadors in a tower defense style game or to battle using space ships. VeriLinks automatically balances the game such that the questions match the user's strength and the rewards match the difficulty of questions. VeriLinks features an admin console, which allows to create new games from a linkset by specifying the respective SPARQL endpoints, a template (for visual presentation) and the linkset itself.

Homepage Source Code

Experiment 2012: Can we create better links by playing games?

In 2012, we officially released Veri Links and started a survey, which we distributed on Linked Data and Semantic Web mailing lists. We recorded in-game statistics and survey answers to obtain a clearer picture on the usefulness of games, in particular VeriLinks, for interlinking. The results and accompanying material for the experiments are available here:

Remark: Since people participated in the survey and played the game outside of the 3-day experiment phase, the raw data above are updated versions of those in the report.

Survey Winners (those who agreed that we can publish their names): Gianluca Demartini, Kingsley Idehen, Joe Montibello, Michael Röder, Jakub Kotowski, Thomas Efer, Virginia Knight, Ruby, Florent Jochaud

Project Team

Former Members

News

More Complete Resultset Retrieval from Large Heterogeneous RDF Sources ( 2019-12-05T15:46:09+01:00 Andre Valdestilhas)

2019-12-05T15:46:09+01:00 Andre Valdestilhas

Over recent years, the Web of Data has grown significantly. Various interfaces such as LOD Stats, LOD Laundromat and SPARQL endpoints provide access to hundreds of thousands of RDF datasets, representing billions of facts. Read more about "More Complete Resultset Retrieval from Large Heterogeneous RDF Sources"

DL-Learner 1.4 (Supervised Structured Machine Learning Framework) Released ( 2019-09-24T22:41:46+02:00 by Simon Bin)

2019-09-24T22:41:46+02:00 by Simon Bin

Dear all, The Smart Data Analytics group [1] and the E.T.-db-MOLE sub-group located at the InfAI Leipzig [2] is happy to announce DL-Learner 1.4. DL-Learner is a framework containing algorithms for supervised machine learning in RDF and OWL. Read more about "DL-Learner 1.4 (Supervised Structured Machine Learning Framework) Released"

DBpedia Day @ SEMANTiCS 2019 ( 2019-08-01T10:35:05+02:00 by Sandra Bartsch)

2019-08-01T10:35:05+02:00 by Sandra Bartsch

 We are happy to announce that SEMANTiCS 2019 will host the 14th DBpedia Community Meeting at the last day of the conference on September 12, 2019. Read more about "DBpedia Day @ SEMANTiCS 2019"

LDK conference @ University of Leipzig ( 2019-03-22T09:21:41+01:00 by Julia Holze)

2019-03-22T09:21:41+01:00 by Julia Holze

With the advent of digital technologies, an ever-increasing amount of language data is now available across various application areas and industry sectors, thus making language data more and more valuable. Read more about "LDK conference @ University of Leipzig"

13th DBpedia community meeting in Leipzig ( 2019-02-22T12:22:07+01:00 by Julia Holze)

2019-02-22T12:22:07+01:00 by Julia Holze

We are happy to invite you to join the 13th edition of the DBpedia Community Meeting, which will be held in Leipzig. Read more about "13th DBpedia community meeting in Leipzig"